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ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
13 years 11 months ago
Representing Tuple and Attribute Uncertainty in Probabilistic Databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources — sensor data, experimental data, data from ...
Prithviraj Sen, Amol Deshpande, Lise Getoor
ICDE
2008
IEEE
133views Database» more  ICDE 2008»
14 years 6 months ago
Database Support for Probabilistic Attributes and Tuples
Abstract-- The inherent uncertainty of data present in numerous applications such as sensor databases, text annotations, and information retrieval motivate the need to handle impre...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
ICDE
2007
IEEE
138views Database» more  ICDE 2007»
14 years 6 months ago
Representing and Querying Correlated Tuples in Probabilistic Databases
Probabilistic databases have received considerable attention recently due to the need for storing uncertain data produced by many real world applications. The widespread use of pr...
Prithviraj Sen, Amol Deshpande
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 years 5 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...
ICDE
2010
IEEE
243views Database» more  ICDE 2010»
14 years 4 months ago
Probabilistic Contextual Skylines
The skyline query returns the most interesting tuples according to a set of explicitly defined preferences among attribute values. This work relaxes this requirement, and allows us...
Anastasios Arvanitis, Dimitris Sacharidis, Timos K...